Sebastian Padó and Mirella Lapata. 2003 Constructing Semantic Space Models from Parsed Corpora. In Proceedings of the 41st Meeting of the Association of Computational Linguistics, 128-135. Sapporo.
Traditional vector-based models use word co-occurrence counts from large corpora to represent lexical meaning. In this paper we present a novel approach for constructing semantic spaces that takes syntactic relations into account. We introduce a formalisation for this class of models and evaluate their adequacy on two modelling tasks: semantic priming and automatic discrimination of lexical relations.
@InProceedings{Pado:Lapata:03, author = {Sebastian Pad\'{o} and Mirella Lapata}, title = {Constructing Semantic Space Models from Parsed Corpora}, crossref = {ACL:03}, pages = {126--135} } @Proceedings{ACL:03, title = {Proceedings of the 41st Annual Meeting of the Association for Computational Linguistics}, booktitle = {Proceedings of the 41st Annual Meeting of the Association for Computational Linguistics}, address = {Sapporo, Japan}, year = 2003 }